Managing AI Projects
Every knowledge area of project management changes when AI enters the picture, not because the fundamentals disappear, but because data, uncertainty, and new stakeholders reshape how you apply them. This course walks through the full project lifecycle and shows, area by area, what a project manager must do differently when AI is part of the solution.
Takeaways and Benefits
- Learn why AI benefits must connect to measurable business outcomes, not just AI adoption for its own sake
- Understand how to capture data requirements alongside functional ones and why data quality decides project viability
- Identify the non-obvious stakeholders AI projects bring in: data owners, compliance officers, model end-users
- Build scope and schedules that stay flexible under data uncertainty and iterative validation
- Plan for the specialist people and non-human resources, compute, storage, licensed data that AI projects demand
- Extend quality, risk, and monitoring practices to cover model performance, bias, explainability, and adoption
- Close projects the right way: safe operationalization, model-monitoring ownership, and hypercare for users
Workshop Agenda
- Welcome – Introductions – Agenda – Case study
- Benefits & Value – Benefits analysis – Benefits realization plan – Objectives aligned to strategy – Exercise: identify the benefits of your project
- Business Case – Collecting requirements: techniques – Creating the business case – Exercise: collect the requirements of your project
- Stakeholders – Identification – Analysis (power/interest matrix, salience model, stakeholder engagement assessment matrix) – Exercise: identify and analyse the stakeholders of your project
- Scope – Predictive planning: WBS – Adaptive planning: backlog, user stories, non-functional user stories, spikes – Definition of Done – Deliveries: predictive, incremental, iterative, MVP – Exercise: define the scope of your project
- Time – Scheduling with milestones and deadlines (activities, dependencies, durations, critical path) – Just-in-time planning: iterations and releases – Exercise: plan the first release of your project
- Resources – Capacity planning – Acquisition – Utilization, levelling, smoothing
- Quality – Deliverables: documents, data, etc. – Quality metrics – Quality assurance – Quality control – Exercise: identify quality metrics and quality assurance processes
- Risks & Opportunities – Risk appetite – Identification & assessment – Responses – Exercise: identify risks and determine responses
- Monitoring & Controlling – Monitoring progress: reality vs. plan – Product reviews – Team retrospectives
- Closing – Definition of Done – Release strategy – Hand over, deployment – Hypercare – Lessons learned
- People – Team attributes (self-organizing, T-shaped, empowered, cross-functional) – High-performing team (Tuckman’s model) – Conflict management – Servant leadership – Emotional intelligence, working under pressure – Exercise: keeping emotions under control – Efficient communication: plan, model – Exercise: build an effective communication plan
Trainer
Florian Ivan is the ideal trainer for “AI in Project Management,” thanks to a rare dual specialisation that perfectly mirrors the course itself.
With over 20 years of project management expertise his command of project management methodologies is second to none. Equally impressive is his technology pedigree: a data analysis degree from Oxford, formative years at a data analytics startup, and a senior Programme Manager role at Microsoft give him deep, firsthand fluency in the tech landscape that underpins modern AI tools.
Florian doesn’t just understand both worlds, he lives them, making him uniquely positioned to show professionals exactly how AI can transform the way projects are managed.
Languages
- This course in available in English and French
Duration
- 1-2 days in classroom
- Also available as online or virtual delivery
Ready to bring your team on the AI journey?
This training has already helped many professionals take the leap — with confidence and a clear method. Whether you want to organise a session for your team or simply find out more about the course content, we’d love to hear from you.
👉 Get in touch to discuss your needs and find the format that works best for you.